Semi-empirical model for elastic tyre trafficability and methods for the rapid determination of its related parameters
To build an accurate and practical model for trafficability, experiments were conducted in a soil bin on elastic–tyre interaction. Wheel–soil interaction used a semi-empirical model and compared parameter identification methods based on improved an simulated annealing (SA) algorithm, an improved art...
Gespeichert in:
| Veröffentlicht in: | Biosystems engineering Jg. 174; S. 204 - 218 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier Ltd
01.10.2018
|
| Schlagworte: | |
| ISSN: | 1537-5110, 1537-5129 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | To build an accurate and practical model for trafficability, experiments were conducted in a soil bin on elastic–tyre interaction. Wheel–soil interaction used a semi-empirical model and compared parameter identification methods based on improved an simulated annealing (SA) algorithm, an improved artificial fish swarm algorithm (AFSA), and an improved particle swarm optimisation algorithm (PSO) to calculate the maximum stress angle and the departure angle of the elastic tyre. The trafficability experiment included the acquisition of stress distribution, sinkage, and properties of soil of the contact length between elastic tyre and soil with different slip rates. The study proposed an improved semi-empirical model for the calculation of maximum stress angle, an improved slip sinkage semi-empirical model, and a method of determining the departure angle and tyre–soil contact length according to parameter identification research. The results indicated that the improved SA was most efficient algorithm to obtain the maximum stress angle and the departure angle, with the average number of iterations equal to 3.94 and the average time consumption of computer equal to 15.41 s. The method proposed can closely estimate the tyre–soil contact length and the elastic tyre sinkage, requiring only the slip rate and the vertical load on tyre. In addition, the method can provide the maximum stress angle for calculation, approach angle, and departure angle necessary for a wheel–soil interaction semi-empirical model.
•The new parameter was proposed, that is, the maximum stress angle for calculation.•SA algorithm, PSO algorithm and AFSA algorithm were improved and compared.•I-SA algorithm can identify the parameters of trafficability quickly and accurately.•Semi-empirical model of the maximum stress angle for calculation was proposed.•Sem-iempirical model of total sinkage was proposed. |
|---|---|
| AbstractList | To build an accurate and practical model for trafficability, experiments were conducted in a soil bin on elastic–tyre interaction. Wheel–soil interaction used a semi-empirical model and compared parameter identification methods based on improved an simulated annealing (SA) algorithm, an improved artificial fish swarm algorithm (AFSA), and an improved particle swarm optimisation algorithm (PSO) to calculate the maximum stress angle and the departure angle of the elastic tyre. The trafficability experiment included the acquisition of stress distribution, sinkage, and properties of soil of the contact length between elastic tyre and soil with different slip rates. The study proposed an improved semi-empirical model for the calculation of maximum stress angle, an improved slip sinkage semi-empirical model, and a method of determining the departure angle and tyre–soil contact length according to parameter identification research. The results indicated that the improved SA was most efficient algorithm to obtain the maximum stress angle and the departure angle, with the average number of iterations equal to 3.94 and the average time consumption of computer equal to 15.41 s. The method proposed can closely estimate the tyre–soil contact length and the elastic tyre sinkage, requiring only the slip rate and the vertical load on tyre. In addition, the method can provide the maximum stress angle for calculation, approach angle, and departure angle necessary for a wheel–soil interaction semi-empirical model.
•The new parameter was proposed, that is, the maximum stress angle for calculation.•SA algorithm, PSO algorithm and AFSA algorithm were improved and compared.•I-SA algorithm can identify the parameters of trafficability quickly and accurately.•Semi-empirical model of the maximum stress angle for calculation was proposed.•Sem-iempirical model of total sinkage was proposed. To build an accurate and practical model for trafficability, experiments were conducted in a soil bin on elastic–tyre interaction. Wheel–soil interaction used a semi-empirical model and compared parameter identification methods based on improved an simulated annealing (SA) algorithm, an improved artificial fish swarm algorithm (AFSA), and an improved particle swarm optimisation algorithm (PSO) to calculate the maximum stress angle and the departure angle of the elastic tyre. The trafficability experiment included the acquisition of stress distribution, sinkage, and properties of soil of the contact length between elastic tyre and soil with different slip rates. The study proposed an improved semi-empirical model for the calculation of maximum stress angle, an improved slip sinkage semi-empirical model, and a method of determining the departure angle and tyre–soil contact length according to parameter identification research. The results indicated that the improved SA was most efficient algorithm to obtain the maximum stress angle and the departure angle, with the average number of iterations equal to 3.94 and the average time consumption of computer equal to 15.41 s. The method proposed can closely estimate the tyre–soil contact length and the elastic tyre sinkage, requiring only the slip rate and the vertical load on tyre. In addition, the method can provide the maximum stress angle for calculation, approach angle, and departure angle necessary for a wheel–soil interaction semi-empirical model. |
| Author | Cheng, Zhun Lu, Zhixiong |
| Author_xml | – sequence: 1 givenname: Zhun surname: Cheng fullname: Cheng, Zhun – sequence: 2 givenname: Zhixiong surname: Lu fullname: Lu, Zhixiong email: 1003765165@qq.com |
| BookMark | eNqNkE1LJDEURYMoqO38h4Cb2VRNkvpIB1ciOjMguFDXIZW8Gl9TqdQkUeh_b9oWQVeu3lvce-CeU3I4hxkIOees5oz3vzb1gCFtUwafYP5XC8bXNZM14-yAnPCukVXHhTr8-Dk7JqcpbRjjnWz7E_JyDx4r8AtGtGaiPjiY6BgihcmkjJbmbQSaoxnHEhhwwrylZnbUQ34KLr1l8xPQaBZ01EGG6HE2GcNMw0gxJxoLK4Oji4nG7wLpjByNZkrw4_2uyOPN9cPVn-r27vffq8vbyjY9y5UdBy47IZWATlijOjWIft0yztdWuUaossqJ9dCyRhqjRqbASVf-YVAt9K5ZkZ977hLD_2dIWXtMFqbJzBCekxaikV3XynJX5HIftTGkFGHUFvPbjDIeJ82Z3jnXG_3Jud4510zq4rwwLr4wlojexO0329f7NhQjLwhRJ4swW3AYwWbtAn6L8woyaKvU |
| CitedBy_id | crossref_primary_10_1155_2021_8891127 crossref_primary_10_1016_j_compag_2019_105176 crossref_primary_10_3390_agriculture12050580 crossref_primary_10_3390_s22176682 crossref_primary_10_1007_s00521_019_04012_3 crossref_primary_10_1016_j_compag_2022_107386 crossref_primary_10_3390_agriculture12030362 crossref_primary_10_1016_j_biosystemseng_2022_07_005 crossref_primary_10_1155_2019_2856908 crossref_primary_10_3390_en17040966 |
| Cites_doi | 10.1126/science.220.4598.671 10.1016/j.jterra.2018.03.005 10.1016/j.jterra.2015.12.004 10.1016/j.jterra.2013.10.003 10.1109/TRO.2004.829462 10.1016/j.matdes.2008.06.040 10.3901/JME.2016.10.119 10.1016/j.cma.2015.02.014 10.5254/1.3535065 10.1063/1.1699114 10.1016/j.still.2014.03.007 10.1016/j.still.2016.09.005 10.1016/0022-4898(67)90047-X 10.1016/S1537-5110(03)00043-6 10.1016/j.jterra.2011.06.006 10.1016/j.mechmachtheory.2017.05.011 10.1016/0022-4898(67)90105-X 10.1016/j.jterra.2017.09.003 10.1016/j.jterra.2004.05.002 |
| ContentType | Journal Article |
| Copyright | 2018 IAgrE |
| Copyright_xml | – notice: 2018 IAgrE |
| DBID | AAYXX CITATION 7S9 L.6 |
| DOI | 10.1016/j.biosystemseng.2018.07.010 |
| DatabaseName | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitle | CrossRef AGRICOLA AGRICOLA - Academic |
| DatabaseTitleList | AGRICOLA |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Agriculture |
| EISSN | 1537-5129 |
| EndPage | 218 |
| ExternalDocumentID | 10_1016_j_biosystemseng_2018_07_010 S1537511017308899 |
| GroupedDBID | --K --M .~1 0R~ 1B1 1RT 1~. 1~5 23N 4.4 457 4G. 53G 5GY 5VS 6J9 7-5 71M 8P~ AABVA AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALCJ AALRI AAOAW AAQFI AATLK AAXUO ABFNM ABFRF ABGRD ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ADBBV ADEZE ADMUD ADQTV ADTZH AEBSH AECPX AEFWE AEKER AENEX AEQOU AFKWA AFTJW AFXIZ AGHFR AGUBO AGYEJ AHJVU AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BJAXD BKOJK BLXMC CAG CBWCG COF CS3 DM4 DU5 EBS EFBJH EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FIRID FNPLU FYGXN G-Q GBLVA HVGLF HZ~ IHE J1W JJJVA K-O KOM LG5 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 PC. Q38 RIG ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SSA SST SSZ T5K UHS UNMZH ~G- ~KM 9DU AAHBH AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 7S9 L.6 |
| ID | FETCH-LOGICAL-c360t-cfb1752792e52ca959b26840118c9d329537d28b4037aa9f09ed7d37abb94e6d3 |
| ISICitedReferencesCount | 9 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000448094900018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1537-5110 |
| IngestDate | Sat Sep 27 23:09:02 EDT 2025 Tue Nov 18 21:01:26 EST 2025 Sat Nov 29 07:01:29 EST 2025 Fri Feb 23 02:48:16 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Approach angle Parameter identification Trafficability Departure angle Maximum stress angle Heuristic intelligent optimisation algorithm |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c360t-cfb1752792e52ca959b26840118c9d329537d28b4037aa9f09ed7d37abb94e6d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| PQID | 2237554722 |
| PQPubID | 24069 |
| PageCount | 15 |
| ParticipantIDs | proquest_miscellaneous_2237554722 crossref_citationtrail_10_1016_j_biosystemseng_2018_07_010 crossref_primary_10_1016_j_biosystemseng_2018_07_010 elsevier_sciencedirect_doi_10_1016_j_biosystemseng_2018_07_010 |
| PublicationCentury | 2000 |
| PublicationDate | October 2018 2018-10-00 20181001 |
| PublicationDateYYYYMMDD | 2018-10-01 |
| PublicationDate_xml | – month: 10 year: 2018 text: October 2018 |
| PublicationDecade | 2010 |
| PublicationTitle | Biosystems engineering |
| PublicationYear | 2018 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Battiato, Diserens (bib1) 2017; 166 Huang, Li, Wu, Zhang, Xue, Wang (bib8) 2015; 31 Ridha (bib23) 1980; 53 Wong, Reece (bib34) 1967; 4 Roşca, Cârlescu, Ţenu (bib24) 2014; 141 Ding, Yang, Gao, Li, Deng, Guo (bib5) 2017; 116 Bekker (bib2) 1969 Nishiyama, Nakashima, Shimizu, Miyasaka, Ohdoi (bib20) 2017; 74 Shoop (bib28) 2001 Wang, Ren, Liu, Zhao (bib30) 2014; 52 Wong (bib32) 2010 Michael, Vogel, Peters (bib18) 2015; 289 Kennedy, Eberhart (bib12) 1995; Vol. 4 Wang, Wang, Wang (bib31) 2005; 20 Iagnemma, Kang, Shibly, Dubowsky (bib9) 2004; 20 Cheng, Lu, Gong, Diao (bib3) 2016; 50 Hu, Xu (bib6) 2012; 29 Senatore, Sandu (bib26) 2011; 48 Janosi, Hanamoto (bib10) 1961 Kirkpatrick, Gelatt, Vecchi (bib13) 1983; 220 Wu (bib35) 2015; 10 Ding, Xiao, Zong, Liu, Yang, Zuo (bib4) 2014; 45 Wong, Reece (bib33) 1967; 4 Sun, Zeng, Wu (bib29) 2015; 26 Senatore, Iagnemma (bib25) 2014; 51 Xiao, Zhang (bib36) 2016; 52 Huang, Li, Dang, Wu, Zou (bib7) 2016; 37 Kiss (bib14) 2003; 85 Li, Shao, Qian (bib15) 2002; 11 Mohsenimanesh, Ward, Gilchrist (bib19) 2009; 30 Nishiyama, Nakashima, Yoshida, Shimizu, Miyasaka, Ohdoi (bib22) 2018; 78 Nishiyama, Nakashima, Yoshida, Ono, Shimizu, Miyasaka (bib21) 2016; 64 Shibly, Iagnemma, Dubowsky (bib27) 2005; 42 Jiang, Liu, Jiang (bib11) 2013; 31 Metropolis, Rosenbluth, Rosenbluth, Teller, Teller (bib17) 1953; 21 Liu, Yang, Li, Xing, Lu, Zhang (bib16) 2013; 47 Yang, Lin, Zhang, Wang (bib37) 2016; 32 Kirkpatrick (10.1016/j.biosystemseng.2018.07.010_bib13) 1983; 220 Roşca (10.1016/j.biosystemseng.2018.07.010_bib24) 2014; 141 Wang (10.1016/j.biosystemseng.2018.07.010_bib31) 2005; 20 Yang (10.1016/j.biosystemseng.2018.07.010_bib37) 2016; 32 Nishiyama (10.1016/j.biosystemseng.2018.07.010_bib21) 2016; 64 Senatore (10.1016/j.biosystemseng.2018.07.010_bib25) 2014; 51 Wong (10.1016/j.biosystemseng.2018.07.010_bib32) 2010 Kiss (10.1016/j.biosystemseng.2018.07.010_bib14) 2003; 85 Li (10.1016/j.biosystemseng.2018.07.010_bib15) 2002; 11 Wong (10.1016/j.biosystemseng.2018.07.010_bib34) 1967; 4 Liu (10.1016/j.biosystemseng.2018.07.010_bib16) 2013; 47 Mohsenimanesh (10.1016/j.biosystemseng.2018.07.010_bib19) 2009; 30 Huang (10.1016/j.biosystemseng.2018.07.010_bib7) 2016; 37 Ridha (10.1016/j.biosystemseng.2018.07.010_bib23) 1980; 53 Bekker (10.1016/j.biosystemseng.2018.07.010_bib2) 1969 Cheng (10.1016/j.biosystemseng.2018.07.010_bib3) 2016; 50 Ding (10.1016/j.biosystemseng.2018.07.010_bib4) 2014; 45 Xiao (10.1016/j.biosystemseng.2018.07.010_bib36) 2016; 52 Metropolis (10.1016/j.biosystemseng.2018.07.010_bib17) 1953; 21 Wang (10.1016/j.biosystemseng.2018.07.010_bib30) 2014; 52 Ding (10.1016/j.biosystemseng.2018.07.010_bib5) 2017; 116 Kennedy (10.1016/j.biosystemseng.2018.07.010_bib12) 1995; Vol. 4 Nishiyama (10.1016/j.biosystemseng.2018.07.010_bib22) 2018; 78 Shibly (10.1016/j.biosystemseng.2018.07.010_bib27) 2005; 42 Wong (10.1016/j.biosystemseng.2018.07.010_bib33) 1967; 4 Shoop (10.1016/j.biosystemseng.2018.07.010_bib28) 2001 Senatore (10.1016/j.biosystemseng.2018.07.010_bib26) 2011; 48 Iagnemma (10.1016/j.biosystemseng.2018.07.010_bib9) 2004; 20 Janosi (10.1016/j.biosystemseng.2018.07.010_bib10) 1961 Jiang (10.1016/j.biosystemseng.2018.07.010_bib11) 2013; 31 Nishiyama (10.1016/j.biosystemseng.2018.07.010_bib20) 2017; 74 Battiato (10.1016/j.biosystemseng.2018.07.010_bib1) 2017; 166 Sun (10.1016/j.biosystemseng.2018.07.010_bib29) 2015; 26 Hu (10.1016/j.biosystemseng.2018.07.010_bib6) 2012; 29 Huang (10.1016/j.biosystemseng.2018.07.010_bib8) 2015; 31 Wu (10.1016/j.biosystemseng.2018.07.010_bib35) 2015; 10 Michael (10.1016/j.biosystemseng.2018.07.010_bib18) 2015; 289 |
| References_xml | – volume: 47 start-page: 1722 year: 2013 end-page: 1730 ident: bib16 article-title: Chaotic simulated annealing particle swarm optimization algorithm research and its application publication-title: Journal of Zhejiang University (Engineering Science) – volume: 78 start-page: 15 year: 2018 end-page: 25 ident: bib22 article-title: FE-DEM with interchangeable modeling for off-road tire traction analysis publication-title: Journal of Terramechanics – volume: 20 start-page: 73 year: 2005 end-page: 76 ident: bib31 article-title: Self-tuning of PID parameters based on particle swarm optimization publication-title: Control and Decision – year: 1969 ident: bib2 article-title: Introduction to terrain-vehicle systems – volume: 51 start-page: 1 year: 2014 end-page: 17 ident: bib25 article-title: Analysis of stress distributions under lightweight wheeled vehicles publication-title: Journal of Terramechanics – volume: 53 start-page: 849 year: 1980 end-page: 902 ident: bib23 article-title: Computation of stresses, strain and deformation of tires publication-title: Rubber Chemistry and Technology – volume: 50 start-page: 1276 year: 2016 end-page: 1283 ident: bib3 article-title: Transfer function of steering system and acquisition method of ideal steering ratio publication-title: Journal of Zhejiang University (Engineering Science) – volume: 30 start-page: 1124 year: 2009 end-page: 1132 ident: bib19 article-title: Stress analysis of a multi-laminated tractor tyre using non-linear 3D finite element analysis publication-title: Materials and Design – year: 2010 ident: bib32 article-title: Terramechanics and off-road vehicle engineering – volume: 289 start-page: 227 year: 2015 end-page: 248 ident: bib18 article-title: DEM–FEM coupling simulations of the interactions between a tire tread and granular terrain publication-title: Computer Methods in Applied Mechanics and Engineering – volume: 48 start-page: 265 year: 2011 end-page: 276 ident: bib26 article-title: Off-road tire modeling and the multi-pass effect for vehicle dynamics simulation publication-title: Journal of Terramechanics – volume: 21 start-page: 1087 year: 1953 end-page: 1092 ident: bib17 article-title: Equation of state calculations by fast computing machines publication-title: The Journal of Chemical Physics – volume: 166 start-page: 18 year: 2017 end-page: 32 ident: bib1 article-title: Tractor traction performance simulation on differently textured soils and validation: A basic study to make traction and energy requirements accessible to the practice publication-title: Soil and Tillage Research – year: 2001 ident: bib28 article-title: Finite element modeling of tire-terrain interaction – volume: 29 start-page: 1791 year: 2012 end-page: 1794 ident: bib6 article-title: Self-tuning of PID parameters based on improved particle swarm optimization publication-title: Application Research of Computers – volume: 85 start-page: 153 year: 2003 end-page: 161 ident: bib14 article-title: Rolling radii of a pneumatic tyre on deformable soil publication-title: Biosystems Engineering – volume: Vol. 4 start-page: 1942 year: 1995 end-page: 1948 ident: bib12 article-title: Particle swarm optimization publication-title: Proceedings of IEEE international conference on neural networks – volume: 220 start-page: 671 year: 1983 end-page: 680 ident: bib13 article-title: Optimization by simulated annealing publication-title: Science – volume: 10 start-page: 1 year: 2015 end-page: 6 ident: bib35 article-title: A new improved artificial fish swarm optimization algorithm publication-title: CAAI Transactions on Intelligent Systems – volume: 45 start-page: 37 year: 2014 end-page: 42 ident: bib4 article-title: Drawbar pull model of planetary rover associated with subsidence publication-title: Transactions of the Chinese Society for Agricultural Machinery – volume: 4 start-page: 7 year: 1967 end-page: 25 ident: bib34 article-title: Prediction of rigid wheel performance based on the analysis of soil-wheel stresses: Part II. Performance of towed rigid wheels publication-title: Journal of Terramechanics – volume: 141 start-page: 10 year: 2014 end-page: 18 ident: bib24 article-title: A semi-empirical traction prediction model for an agricultural tyre, based on the super ellipse shape of the contact surface publication-title: Soil and Tillage Research – volume: 74 start-page: 25 year: 2017 end-page: 33 ident: bib20 article-title: 2D FE–DEM analysis of contact stress and tractive performance of a tire driven on dry sand publication-title: Journal of Terramechanics – volume: 64 start-page: 23 year: 2016 end-page: 35 ident: bib21 article-title: 2D FE–DEM analysis of tractive performance of an elastic wheel for planetary rovers publication-title: Journal of Terramechanics – volume: 11 start-page: 32 year: 2002 end-page: 38 ident: bib15 article-title: An optimizing method based on autonomous animats: Fish-swarm algorithm publication-title: System Engineering Theory and Practice – volume: 26 start-page: 1676 year: 2015 end-page: 1683 ident: bib29 article-title: Buckling optimization of composite laminates based on improved simulated annealing algorithm publication-title: China Mechanical Engineering – volume: 31 start-page: 64 year: 2015 end-page: 70 ident: bib8 article-title: Construction and verification of lightweight vehicle wheel tractive trafficability model under light load publication-title: Transactions of the Chinese Society of Agricultural Engineering – volume: 116 start-page: 14 year: 2017 end-page: 33 ident: bib5 article-title: Terramechanics-based modeling of sinkage and moment for in-situ steering wheels of mobile robots on deformable terrain publication-title: Mechanism and Machine Theory – volume: 42 start-page: 1 year: 2005 end-page: 13 ident: bib27 article-title: An equivalent soil mechanics formulation for rigid wheels in deformable terrain, with application to planetary exploration rovers publication-title: Journal of Terramechanics – year: 1961 ident: bib10 article-title: Analytical determination of drawbar pull as a function of slip for tracked vehicle in deformable soils. Italy publication-title: Proceedings of the 1st international conference on terrain-vehicle systems – volume: 37 start-page: 1974 year: 2016 end-page: 1982 ident: bib7 article-title: Planetary rover's tractive performance model based on similarity theory publication-title: Acta Aeronautica et Astronautica Sinica – volume: 32 start-page: 201 year: 2016 end-page: 207 ident: bib37 article-title: Experimental analysis of the slip sinkage effect based on real vehicle test publication-title: Journal of Southeast University (English Edition) – volume: 20 start-page: 921 year: 2004 end-page: 927 ident: bib9 article-title: Online terrain parameter estimation for wheeled mobile robots with application to planetary rovers publication-title: IEEE Transactions on Robotics – volume: 52 start-page: 119 year: 2016 end-page: 125 ident: bib36 article-title: Design of wheel of manned lunar rover and research on terramechanics model for wheel-terrain interaction based on elastic wheel publication-title: Journal of Mechanical Engineering – volume: 4 start-page: 81 year: 1967 end-page: 98 ident: bib33 article-title: Prediction of rigid wheel performance based on the analysis of soil-wheel stresses part I. Performance of driven rigid wheels publication-title: Journal of Terramechanics – volume: 31 start-page: 1 year: 2013 end-page: 6 ident: bib11 article-title: Research on lunar rover wheel-soil interaction model publication-title: Vehicle & Power Technology – volume: 52 start-page: 14 year: 2014 end-page: 22 ident: bib30 article-title: Present status and developing trend of tire-soil interaction research publication-title: Agricultural Equipment & Vehicle Engineering – volume: 220 start-page: 671 issue: 4598 year: 1983 ident: 10.1016/j.biosystemseng.2018.07.010_bib13 article-title: Optimization by simulated annealing publication-title: Science doi: 10.1126/science.220.4598.671 – volume: 78 start-page: 15 year: 2018 ident: 10.1016/j.biosystemseng.2018.07.010_bib22 article-title: FE-DEM with interchangeable modeling for off-road tire traction analysis publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2018.03.005 – volume: 64 start-page: 23 year: 2016 ident: 10.1016/j.biosystemseng.2018.07.010_bib21 article-title: 2D FE–DEM analysis of tractive performance of an elastic wheel for planetary rovers publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2015.12.004 – volume: 51 start-page: 1 year: 2014 ident: 10.1016/j.biosystemseng.2018.07.010_bib25 article-title: Analysis of stress distributions under lightweight wheeled vehicles publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2013.10.003 – volume: 45 start-page: 37 issue: 12 year: 2014 ident: 10.1016/j.biosystemseng.2018.07.010_bib4 article-title: Drawbar pull model of planetary rover associated with subsidence publication-title: Transactions of the Chinese Society for Agricultural Machinery – volume: 31 start-page: 1 issue: 1 year: 2013 ident: 10.1016/j.biosystemseng.2018.07.010_bib11 article-title: Research on lunar rover wheel-soil interaction model publication-title: Vehicle & Power Technology – year: 2001 ident: 10.1016/j.biosystemseng.2018.07.010_bib28 – volume: 50 start-page: 1276 issue: 7 year: 2016 ident: 10.1016/j.biosystemseng.2018.07.010_bib3 article-title: Transfer function of steering system and acquisition method of ideal steering ratio publication-title: Journal of Zhejiang University (Engineering Science) – volume: 20 start-page: 921 issue: 5 year: 2004 ident: 10.1016/j.biosystemseng.2018.07.010_bib9 article-title: Online terrain parameter estimation for wheeled mobile robots with application to planetary rovers publication-title: IEEE Transactions on Robotics doi: 10.1109/TRO.2004.829462 – volume: 30 start-page: 1124 year: 2009 ident: 10.1016/j.biosystemseng.2018.07.010_bib19 article-title: Stress analysis of a multi-laminated tractor tyre using non-linear 3D finite element analysis publication-title: Materials and Design doi: 10.1016/j.matdes.2008.06.040 – volume: 52 start-page: 119 issue: 10 year: 2016 ident: 10.1016/j.biosystemseng.2018.07.010_bib36 article-title: Design of wheel of manned lunar rover and research on terramechanics model for wheel-terrain interaction based on elastic wheel publication-title: Journal of Mechanical Engineering doi: 10.3901/JME.2016.10.119 – volume: 289 start-page: 227 year: 2015 ident: 10.1016/j.biosystemseng.2018.07.010_bib18 article-title: DEM–FEM coupling simulations of the interactions between a tire tread and granular terrain publication-title: Computer Methods in Applied Mechanics and Engineering doi: 10.1016/j.cma.2015.02.014 – volume: 11 start-page: 32 year: 2002 ident: 10.1016/j.biosystemseng.2018.07.010_bib15 article-title: An optimizing method based on autonomous animats: Fish-swarm algorithm publication-title: System Engineering Theory and Practice – year: 1961 ident: 10.1016/j.biosystemseng.2018.07.010_bib10 article-title: Analytical determination of drawbar pull as a function of slip for tracked vehicle in deformable soils. Italy – volume: 47 start-page: 1722 issue: 10 year: 2013 ident: 10.1016/j.biosystemseng.2018.07.010_bib16 article-title: Chaotic simulated annealing particle swarm optimization algorithm research and its application publication-title: Journal of Zhejiang University (Engineering Science) – volume: 53 start-page: 849 issue: 4 year: 1980 ident: 10.1016/j.biosystemseng.2018.07.010_bib23 article-title: Computation of stresses, strain and deformation of tires publication-title: Rubber Chemistry and Technology doi: 10.5254/1.3535065 – year: 2010 ident: 10.1016/j.biosystemseng.2018.07.010_bib32 – volume: 31 start-page: 64 issue: 12 year: 2015 ident: 10.1016/j.biosystemseng.2018.07.010_bib8 article-title: Construction and verification of lightweight vehicle wheel tractive trafficability model under light load publication-title: Transactions of the Chinese Society of Agricultural Engineering – volume: 21 start-page: 1087 issue: 6 year: 1953 ident: 10.1016/j.biosystemseng.2018.07.010_bib17 article-title: Equation of state calculations by fast computing machines publication-title: The Journal of Chemical Physics doi: 10.1063/1.1699114 – volume: 141 start-page: 10 year: 2014 ident: 10.1016/j.biosystemseng.2018.07.010_bib24 article-title: A semi-empirical traction prediction model for an agricultural tyre, based on the super ellipse shape of the contact surface publication-title: Soil and Tillage Research doi: 10.1016/j.still.2014.03.007 – volume: 26 start-page: 1676 issue: 12 year: 2015 ident: 10.1016/j.biosystemseng.2018.07.010_bib29 article-title: Buckling optimization of composite laminates based on improved simulated annealing algorithm publication-title: China Mechanical Engineering – volume: 32 start-page: 201 issue: 2 year: 2016 ident: 10.1016/j.biosystemseng.2018.07.010_bib37 article-title: Experimental analysis of the slip sinkage effect based on real vehicle test publication-title: Journal of Southeast University (English Edition) – volume: 52 start-page: 14 issue: 12 year: 2014 ident: 10.1016/j.biosystemseng.2018.07.010_bib30 article-title: Present status and developing trend of tire-soil interaction research publication-title: Agricultural Equipment & Vehicle Engineering – volume: 29 start-page: 1791 issue: 5 year: 2012 ident: 10.1016/j.biosystemseng.2018.07.010_bib6 article-title: Self-tuning of PID parameters based on improved particle swarm optimization publication-title: Application Research of Computers – volume: Vol. 4 start-page: 1942 year: 1995 ident: 10.1016/j.biosystemseng.2018.07.010_bib12 article-title: Particle swarm optimization – volume: 166 start-page: 18 year: 2017 ident: 10.1016/j.biosystemseng.2018.07.010_bib1 article-title: Tractor traction performance simulation on differently textured soils and validation: A basic study to make traction and energy requirements accessible to the practice publication-title: Soil and Tillage Research doi: 10.1016/j.still.2016.09.005 – volume: 20 start-page: 73 issue: 1 year: 2005 ident: 10.1016/j.biosystemseng.2018.07.010_bib31 article-title: Self-tuning of PID parameters based on particle swarm optimization publication-title: Control and Decision – year: 1969 ident: 10.1016/j.biosystemseng.2018.07.010_bib2 – volume: 4 start-page: 7 issue: 2 year: 1967 ident: 10.1016/j.biosystemseng.2018.07.010_bib34 article-title: Prediction of rigid wheel performance based on the analysis of soil-wheel stresses: Part II. Performance of towed rigid wheels publication-title: Journal of Terramechanics doi: 10.1016/0022-4898(67)90047-X – volume: 85 start-page: 153 issue: 2 year: 2003 ident: 10.1016/j.biosystemseng.2018.07.010_bib14 article-title: Rolling radii of a pneumatic tyre on deformable soil publication-title: Biosystems Engineering doi: 10.1016/S1537-5110(03)00043-6 – volume: 48 start-page: 265 year: 2011 ident: 10.1016/j.biosystemseng.2018.07.010_bib26 article-title: Off-road tire modeling and the multi-pass effect for vehicle dynamics simulation publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2011.06.006 – volume: 10 start-page: 1 issue: 3 year: 2015 ident: 10.1016/j.biosystemseng.2018.07.010_bib35 article-title: A new improved artificial fish swarm optimization algorithm publication-title: CAAI Transactions on Intelligent Systems – volume: 116 start-page: 14 year: 2017 ident: 10.1016/j.biosystemseng.2018.07.010_bib5 article-title: Terramechanics-based modeling of sinkage and moment for in-situ steering wheels of mobile robots on deformable terrain publication-title: Mechanism and Machine Theory doi: 10.1016/j.mechmachtheory.2017.05.011 – volume: 4 start-page: 81 issue: 1 year: 1967 ident: 10.1016/j.biosystemseng.2018.07.010_bib33 article-title: Prediction of rigid wheel performance based on the analysis of soil-wheel stresses part I. Performance of driven rigid wheels publication-title: Journal of Terramechanics doi: 10.1016/0022-4898(67)90105-X – volume: 37 start-page: 1974 issue: 6 year: 2016 ident: 10.1016/j.biosystemseng.2018.07.010_bib7 article-title: Planetary rover's tractive performance model based on similarity theory publication-title: Acta Aeronautica et Astronautica Sinica – volume: 74 start-page: 25 year: 2017 ident: 10.1016/j.biosystemseng.2018.07.010_bib20 article-title: 2D FE–DEM analysis of contact stress and tractive performance of a tire driven on dry sand publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2017.09.003 – volume: 42 start-page: 1 issue: 1 year: 2005 ident: 10.1016/j.biosystemseng.2018.07.010_bib27 article-title: An equivalent soil mechanics formulation for rigid wheels in deformable terrain, with application to planetary exploration rovers publication-title: Journal of Terramechanics doi: 10.1016/j.jterra.2004.05.002 |
| SSID | ssj0015746 |
| Score | 2.287961 |
| Snippet | To build an accurate and practical model for trafficability, experiments were conducted in a soil bin on elastic–tyre interaction. Wheel–soil interaction used... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 204 |
| SubjectTerms | algorithms Approach angle computers Departure angle Heuristic intelligent optimisation algorithm Maximum stress angle Parameter identification tires Trafficability |
| Title | Semi-empirical model for elastic tyre trafficability and methods for the rapid determination of its related parameters |
| URI | https://dx.doi.org/10.1016/j.biosystemseng.2018.07.010 https://www.proquest.com/docview/2237554722 |
| Volume | 174 |
| WOSCitedRecordID | wos000448094900018&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1537-5129 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0015746 issn: 1537-5110 databaseCode: AIEXJ dateStart: 20020101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1da9swFBVZOsb2MPbJuq1DY3srHok_KmsPg1BatjHKoB2EvQjJkluXxAlxEvKwH797LcmOVwoZYy_GEbZl-Z5cHV1dHRHyPgKbA4_Pg0zzKIi1kYGEjjkIVTbMOQYd8nqh8Dd2dpaOx_x7r_fLr4VZT1hZppsNn_9XU0MZGBuXzv6FuZuHQgGcg9HhCGaH406GPzfTIjDTeWHFP-qtbqywNxBllGfFuDNuDYHiEVal22ow2c2kqzbxUM4Lfah9voynlnamYSKRqqJw-BQvqDqTw8XMCkRXh6aVO2wTCYz1Lz-vVm0-0MqWFBuo5XI7FDFMm6Q2Fx_za2TahCTrUlkAtM7OvpjtMhfr8H6Yxdue1O5K7Drl0DrpG_7ehh6uP6imYdAETNhLa0lWX2lHUPsca8cXGoJ3S2G8eYfshSzhaZ_sjb6cjL82s1AJs6vTfAvukXdtfuCtVd7GcP7o62sCc_GIPHQjDzqyiHlMeqZ8Qh6MLhdOfcXAry11yqdk3UUSrZFEAR3UIYkikmgXSRSQRB2S6msBSbRGEu0gic5yCkiiDkm0RdIz8uP05OL4c-C26Qiy6GiwDLJcAQdFIUqThJnkCVe1hBAMXTOuo5DD59NhquJBxKTk-YAbzTScK8Vjc6Sj56RfzkrzglCVoviSkhyDJTxLlApzruG5mqWRYsN98tF_WpE5DXvcSmUifLLitejYRaBdxIAJsMs-iZub51bKZbfbPnkbCsdKLdsUAMLdHvDWW16A78YJOVma2aoSQM0Z0HkWhi__tZJX5H77j3xN-svFyhyQu9l6WVSLNw7YvwEBKMz4 |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Semi-empirical+model+for+elastic+tyre+trafficability+and+methods+for+the+rapid+determination+of+its+related+parameters&rft.jtitle=Biosystems+engineering&rft.au=Cheng%2C+Zhun&rft.au=Lu%2C+Zhixiong&rft.date=2018-10-01&rft.pub=Elsevier+Ltd&rft.issn=1537-5110&rft.eissn=1537-5129&rft.volume=174&rft.spage=204&rft.epage=218&rft_id=info:doi/10.1016%2Fj.biosystemseng.2018.07.010&rft.externalDocID=S1537511017308899 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1537-5110&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1537-5110&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1537-5110&client=summon |